Instructions to use ShivMoh/save_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShivMoh/save_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShivMoh/save_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShivMoh/save_test: direct link, hf CLI and curl.
- Browser
- Download file 6.2 kB
-
https://huggingface.co/ShivMoh/save_test/resolve/main/training_args.bin
- Command line
-
hf download hf://ShivMoh/save_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShivMoh/save_test/resolve/main/training_args.bin
6.2 kB
- Xet hash:
- 0ff027ab13cf96ae575a44e892414346d0f5f7a923a7f24e7e8acd934a58d30c
- Size of remote file:
- 6.2 kB
- SHA256:
- 72307759b1064a48fc76051044d7b5d8deddb7f805dfa0f8f33601c071e5c436
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